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Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges (2019)

Chapter: Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis

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Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
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Appendix D

2015 Multi-Sector General Permit (MSGP) Data Analysis

The committee obtained MSGP monitoring data that have been reported in the Environmental Protection Agency (EPA) Network Discharge Monitoring Report (NetDMR) database in response to the monitoring and reporting requirements of the 2015 MSGP (see Table 1-1). Stormwater samples are collected by the permittees at stormwater outfalls. An individual facility may have multiple outfalls at a site at which samples are collected. The samples are analyzed for sector-specific pollutants and any additional local requirements, typically by contract analytical laboratories, and the results are reported by the permittee using NetDMR. Permittees certify the data to be accurate and maintain laboratory reports on file, which are available for review upon request and during site inspections. In addition to MSGP benchmark monitoring, local monitoring requirements are often prescribed to inform compliance with effluent limitation guidelines, local or state regulations, or development or implementation of total maximum daily loads (TMDLs; labeled “required monitoring” in the database). The committee analyzed the data to assess the general extent to which individual reported results were above the benchmarks and whether there are sectors or subsectors that have a large percentage of facilities for which individual reported results exceed benchmark threshold values. The results of this data analysis are presented in this appendix through a series of graphs and tables of descriptive statistics, organized by pollutant. Summary tables are provided in Chapter 2.

The data obtained from EPA represented sites that were required under the 2015 MSGP to report their compliance information to the NetDMR database. The period of record for reported results was from mid-2015 through February 13, 2018. The data include more than 17,000 reported results from MSGP sites in the four states where EPA has primacy for the regulations (Idaho, Massachusetts, New Hampshire, and New Mexico), the District of Columbia, all U.S. territories, Indian country, and some federal facilities throughout the United States. The data analyzed by the committee are available upon request to the National Academies Public Access Records Office.

ANALYSIS METHODOLOGY

The outfall monitoring data were analyzed by pollutant and sector or subsector (see Table D-1 for sector classifications). Standard industrial classification (SIC) codes were used to identify the appropriate sector or subsector for each data point. Where SIC codes were lacking, other identifying information (e.g., “primary permit SIC description”) was used to identify the appropriate sector or subsector. One SIC code (1021, copper ores) fell under both G1 and G2 and in these circumstances, the code was assigned G1.

All results reported in the NetDMR database and delivered to the committee were used in the analysis, unless key data or identifying information was lacking. Where reported results lacked SIC codes and the sector could not be determined through other identifying information, those results were excluded from the analysis. Results were also excluded in cases where no units were provided and where the units associated

Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

TABLE D-1
Industrial Sectors and Subsectors

Subsector Subsector Detail
A1 General sawmills and planing mills
A2 Wood preserving
A3 Log storage and handling
A4 Hardwood and wood product facilities; sawmills
B1 Paperboard mills
B2 Pulp and paper mills
C1 Agricultural chemicals
C2 Industrial inorganic chemicals
C3 Soaps, detergents, cosmetics, and perfumes
C4 Plastics, synthetics, and resins
C5 Industrial organic chemicals, paints, lacquers, pharmaceuticals
D1 Asphalt paving and roofing materials
D2 Miscellaneous products of petroleum and coal
E1 Clay product manufacturers
E2 Concrete and gypsum product manufacturers
E3 Glass and stone products
F1 Steel works, blast furnaces, and rolling and finishing mills
F2 Iron and steel foundries
F3 Rolling, drawing, and extruding of nonferrous metals
F4 Nonferrous foundries
F5 Smelting and refining of nonferrous metals, miscellaneous primary metal products
G1 Active copper ore mining and dressing facilities
G2 Active metal mining facilities
H Coal mines and related areas
I Oil and gas extraction facilities
J1 Sand and gravel mining
J2 Mining of dimension and crushed stone and nonmetallic minerals
J3 Clay, chemical, and fertilizer mineral mining
K1 Hazardous waste treatment storage, or disposal facilities
L1 Landfills, land application sites, and open dumps
L2 L1 except municipal solid waste landfill areas closed
M Automobile salvage yards
N1 Scrap recycling and waste recycling facilities
N2 Source separated recycling facilities
O Steam electric generating facilities
P Motor freight transportation facilities
Q Water transportation facilities
R Ship and boat building or repair yards
S Airports
T Treatment works
U1 Grain mill products
U2 Fats and oils products
Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×
Subsector Subsector Detail
U3 Meat, dairy, and other food products and beverages
V Textile mills, apparel, and other fabric products
W Furniture and fixture manufacturing facilities
X Printing and publishing facilities
Y1 Rubber products manufacturing
Y2 Miscellaneous plastic products and manufacturing industries
Z Leather tanning and finishing facilities
AA1 Fabricated metal products, except coating
AA2 Fabricated metal coating and engraving
AB Transportation equipment, industrial, or commercial machinery manufacturing facilities
AC Electronic and electrical equipment and components, photographic, and optical goods manufacturing facilities

with the result could not be reasonably determined. The number of these excluded reported results are noted as footnotes to the tables that follow. The committee excluded a few reported results that were several orders of magnitude below known detection limits based on the current capabilities of chemical analysis. These exclusions are described in the pollutant-specific descriptions that follow. No high reported results were excluded because although some of the results appear suspect, it was not possible to associate the result with a reporting error with a high level of confidence. There could be additional reporting errors that are masked by the wide range of reported results.

The reported results for each pollutant were converted to consistent units (e.g., mg/L, µg/L), based on Table 1-3. In the analysis, results that were labeled as “less than” a specific value (e.g., some form of analytical detection limit) are analyzed as the value reported. Therefore, “less than 0.01 µg/L” becomes 0.01 µg/L for this analysis. In some cases the “less than” values reported were higher than the benchmark. For example, among the silver data reported, four of the reported results were higher than the hardness-specific benchmark (including <20 µg/L and <25 µg/L). For the purposes of this analysis, those results were analyzed and graphed as the value reported. Occurrences of “less than” values exceeding benchmarks are noted in footnotes in the tables where they occur. Similar to the “less than” values, for the few reported values where the data were labeled as “greater than,” the value used in the analysis was the value reported, which may represent the upper limit of detection or a reporting error.

The committee performed several levels of verification on this analysis. Three committee members helped review the methodology, and this appendix was reviewed by staff from the National Academies of Sciences, Engineering, and Medicine’s Committee on National Statistics and one independent reviewer. The spreadsheets containing the calculations were reviewed in detail by National Academies’ staff to check for errors. A few minor errors were detected that were discussed with the committee and subsequently corrected.

In the tables that follow, descriptive statistics are presented for all sectors and subsectors with at least one reported value (statistics generated from Excel), including

  • The number of reported values,
  • The minimum and maximum (e.g., the range of concentrations observed),
  • The median (to highlight the center value of the data), and
  • The 75th percentile to show a relatively common upper concentration.

The data were also analyzed by subsector to calculate the percentage of individual reported results that were below the benchmark limit (or four or eight times

Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

the benchmark, consistent with suggested Additional Implementation Measure [AIM] thresholds; see Box 1-3). The data were not processed to determine whether data exceeding benchmarks warranted corrective action in accordance with the permit, because that determination is based on the average of four quarterly monitoring values. For pollutants with a benchmark threshold not dependent on hardness, all reported results were analyzed. This includes data (flagged “required monitoring” in the database) that may have been reported for other reasons, such as TMDLs. For the six metals where the benchmark threshold is dependent on receiving water hardness (cadmium, copper, lead, nickel, silver, and zinc), the reported results were compared to the facility-specific hardness-based benchmark entered into the database. Reported results flagged as “required monitoring” that lacked information on a hardness-based benchmark or permit limit or sufficient receiving water quality information to determine the appropriate benchmark were excluded from the analysis. The number of excluded reported results is noted in a footnote to each pollutant with hardness-dependent benchmarks.

The box-plot figures that follow illustrate the 25th, 50th, and 75th percentiles of the data, with the whiskers identifying the 10th and 90th percentiles. Data points outside of the 10th and 90th percentiles are shown as individual data points. Graphs for each pollutant only include sectors with at least eight reported results. Fewer than eight reported results were considered to be too few to provide a reasonable graphical representation of the data range and where the data were primarily centered. For pollutants with a single benchmark, the benchmark value as well as four and eight times the benchmark are plotted for ease of comparison. For the six metals where each sample benchmark is based on the receiving water hardness (cadmium, copper, lead, nickel, silver, and zinc), two benchmarks (plus eight times the benchmark) are presented for comparison based on generic hardness values—one representing soft water (60 mg/L as CaCO3) and the other representing hard water (200 mg/L CaCO3). The graphs include “required monitoring” reported results that were not included in the comparison against hardness-related benchmarks.

ANALYSIS LIMITATIONS

The data set has the following limitations. No information is known about the elements of the stormwater pollution prevention plan, including whether structural stormwater control measures were operating on site (and if so, whether those were designed or maintained appropriately) or whether the stormwater quality was managed using nonstructural activities, such as good housekeeping and site sweeping. In addition, no information is provided in the database on the hydrological characteristics of the site or the storm event, such as rainfall intensity or drainage area.

In addition, it was apparent that the data set contained some errors related to reporting. For example, one reported concentration for copper was in the range of 10−7 µg/L, which is not achievable given current detection limits for instrumentation. Some very low or high concentrations may have been the result of unit conversion errors.

The data represent more than 2 years of data collection, including the early part of the MSGP permit when all permittees are required to monitor and sample outfalls quarterly, at a minimum. If the average of four quarterly monitoring results meets the benchmark, those permittees are allowed to discontinue monitoring for the remainder of the permit cycle. Those that did not meet the benchmark continued to sample for an additional year. Therefore, the results are likely to be biased toward the higher concentrations, based on those permittees that had to collect additional samples. Therefore, the data should not be used to determine the percentage of permittees that had data exceeding benchmarks. The committee chose to analyze this longer data set rather than only the first year of reported results to capture more storms, given inherent variability in stormwater quality (see Chapter 3). A primary objective of the analysis was to identify sectors and pollutants with recurrent benchmark exceedances, and longer periods of reported results were helpful in this regard. For this 2-plus-year period, the effect would be less than it would be in past MSGP data analyses, which included data over either only year 2 or 4 of the permit (Harcum et al., 2005) or up to 4 years of the permit (EPA, 2012).

Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

ANALYSIS RESULTS

The following sections summarize the 2015 MSGP reported results for individual pollutants, sorted by sector or subsector. Some of the pollutants (e.g., antimony, cadmium, cyanide, mercury, nickel, selenium) had a relatively small data set, and some of the subsectors only represent a single facility. The largest data sets include aluminum, copper, iron, lead, total suspended solids (TSS), and zinc. The results are summarized in Chapter 2 and in Tables 2-3 and 2-4.

Aluminum

Figure D-1 shows the NetDMR 2015 MSGP data for aluminum. For most sectors where aluminum was measured, the benchmark (750 µg/L) was achieved by at least 50 percent of the reported results. The exception was Sector H (coal mines and coal-mine-related facilities), which had no reported results that met the benchmark and for which most reported results exceeded a value eight times the benchmark. Among the sectors with at least eight reported results, Sectors N (scrap recycling), P (motor freight transportation), Q (water transportation facilities), and R (ship building) all had frequent individual results that exceeded the benchmark (>35 percent) and many (7–13 percent) had very high values reported. The complete data set is summarized in Table D-2.

Image
FIGURE D-1
Aluminum results from NetDMR 2015 MSGP reported results through February 2018.
NOTES: Orange line denotes benchmark of 750 μg/L. Dashed purple lines represent four and eight times the benchmark.
Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

TABLE D-2
Statistical Summary and Benchmark Comparison of 2015 MSGP Reported Results for Aluminum

No. Reported Results No. Facilities Min. (µg/L) Max. (µg/L) Median (µg/L) 75th Percentile (µg/L) Percent >BM Percent >4× BM Percent >8× BM
C2 89 5 54 274,000 270 540 19 7 3
C5 10 2 <100 1,150 178 310 10 0 0
D1 2 1 70 120 95 108 0 0 0
E2 2 1 1,900 2,100 2,000 2,050 100 0 0
F1 31 2 38 3,000 255 571 23 0 0
F2 52 4 <50 9,470 412 1,080 27 12 8
F3 6 2 37 270 50 73 0 0 0
H 22 3 3,410 315,000 26,700 99,975 100 100 95
J2 1 1 80 80 80 80 0 0 0
M 190 39 3 41,000 255 588 18 5 2
N1 318 53 13 130,000 649 2,290 46 21 13
O 2 1 <100 100 100 100 0 0 0
P 91 10 64 800,000 460 1,450 38 15 9
Q 577 66 <6 144,000 470 1,600 38 17 12
R 335 37 10 628,000 500 1,670 38 16 7
S 10 2 7.8 509 144 261 0 0 0
T 3 1 130 810 310 560 33 0 0
U3 2 1 690 9,670 5,180 7,425 50 50 50
V 4 2 <50 2,320 1,397 1,646 75 0 0
Y2 36 3 <50 920 50 153 3 0 0
AA1 387 35 26 46,100 292 1,100 30 8 4
AB 8 1 70 370 195 263 0 0 0

NOTE: Twenty-seven reported results were not included because they did not have units or the sector/subsector could not be identified (9 without units, 18 without sector/subsector information).

Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

Ammonia

Figure D-2 highlights the NetDMR 2015 MSGP data for ammonia. In general, most reported results met the benchmark (2.14 mg N/L). The complete data set is summarized in Table D-3.

Image
FIGURE D-2
Ammonia results from NetDMR 2015 MSGP reported data through February 2018.
NOTES: Orange line denotes benchmark of 2.14 mg N/L. Dashed purple lines represent four and eight times the benchmark.

TABLE D-3
Statistical Summary and Benchmark Comparison of 2015 MSGP Reported Results for Ammonia

No. Reported Results No. Facilities Min. (mg/L) Max. (mg/L) Median (mg/L) 75th Percentile (mg/L) Percent >BM Percent >4× BM Percent >8× BM
C5 8 2 <0.05 1.3 0.16 0.28 0 0 0
K 78 7 0.06 <1,000 0.42 0.61 3a 1a 1a
L1 81 14 0.02 8.2 0.16 0.34 4 0 0
L2 1 1 0.04 0.04 0.04 0.04 0 0 0
N1 2 2 0.10 0.75 0.42 0.59 0 0 0
P 38 8 0.02 1.9 0.16 0.29 0 0 0
Q 4 1 0.10 0.45 0.24 0.39 0 0 0
S 11 2 0.09 1.6 0.42 0.66 0 0 0
AA1 2 1 0.05 3.5 1.8 2.6 50 0 0
AC 4 1 0.11 1.1 0.17 0.43 0 0 0

NOTE: Four reported results were not included because the sector/subsector could not be identified.

a Includes one reported result with reported detection limit exceeding the benchmark (2.14 mg N/L).

Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

Antimony

Data were reported for antimony for only two sectors and the data were not graphed because there were fewer than eight reported results for each. Table D-4 shows the results for the limited results reported for Sectors G1 and G2, metal mining (ore mining and dressing), both of which were able to meet the benchmark (640 µg/L).

TABLE D-4
Statistical Summary and Benchmark Comparison of 2015 MSGP Reported Results for Antimony

No. Reported Results No. Facilities Min. (µg/L) Max. (µg/L) Median (µg/L) 75th Percentile (µg/L) Percent >BM Percent >4× BM Percent >8× BM
G1 2 1 <7.5 <20 <14 <17 0 0 0
G2 4 2 <20 <500 <260 <500 0 0 0

Arsenic

Figure D-3 shows the NetDMR 2015 MSGP data for arsenic. For all sectors where arsenic was measured and a sufficient number of reported results were in the database to allow graphing, the freshwater benchmark (150 µg/L) was achieved by greater than 75 percent of the reported data. Sectors K (hazardous waste facilities) and P (motor freight transportation) had one result and two results, respectively, that did not meet the benchmark. The complete data set is summarized in Table D-5.

Image
FIGURE D-3
Arsenic results from NetDMR 2015 MSGP reported data through February 2018.
NOTES: Orange line denotes benchmark of 150 μg/L. Dashed purple lines represent four and eight times the benchmark.
Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

TABLE D-5
Statistical Summary and Benchmark Comparison of 2015 MSGP Reported Results for Arsenic

No. Reported Results No. Facilities Min. (µg/L) Max. (µg/L) Median (µg/L) 75th Percentile (µg/L) Percent >BM Percent >4× BM Percent >8× BM
A2 34 3 <1 81.5 8.5 13 0 0 0
C3 4 1 <10 <10 <10 <10 0 0 0
C5 8 2 <2 <11 <6.5 <11 0 0 0
G1 4 1 <25 <25 <25 <25 0 0 0
G2 4 2 <25 <40 <32.5 <40 0 0 0
K1 88 7 <1 1,800 3.9 5.5 1 1 1
N1 1 1 <5 <5 <5 <5 0 0 0
O 3 1 <5 18 <5 12 0 0 0
P 21 8 0.5 <500 6.1 20 10a 0 0
R 5 1 <1 14 1.4 1.9 0 0 0
AA1 3 1 0.22 2.5 0.69 1.6 0 0 0
AC 2 1 <5 6 5.5 5.8 0 0 0

a All exceedances were for reported results that had stated detection limits above the benchmark (150 μg/L).

Beryllium

Data were reported for beryllium for only Sectors G1 and G2, metal mining (ore mining and dressing), and were not graphed because there were fewer than eight reported results for each. Table D-6 shows the limited results for the data reported, which were able to meet the benchmark of 130 µg/L.

TABLE D-6
Statistical Summary and Benchmark Comparison of 2015 MSGP Reported Results for Beryllium

No. Reported Results No. Facilities Min. (µg/L) Max. (µg/L) Median (µg/L) 75th Percentile (µg/L) Percent >BM Percent >4× BM Percent >8× BM
G1 1 1 <2 <2 <2 <2 0 0 0
G2 4 2 <2 <100 <51 <100 0 0 0
Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

Biochemical Oxygen Demand (5 day) (BOD5)

Figure D-4 highlights the NetDMR 2015 MSGP data for BOD5. Of the three sectors with at least eight reported results, most of the data met the benchmark of 30 mg/L for Sectors L1 (landfills) and P (motor freight transportation facilities), but 44 percent of reported results in Sector S (airports) were not able to meet the benchmark. The complete data set is summarized in Table D-7.

Image
FIGURE D-4
Five-day biochemical oxygen demand (BOD5) results from NetDMR 2015 MSGP reported data through February 2018.
NOTES: Orange line denotes benchmark of 30 mg/L. Dashed purple lines represent four and eight times the benchmark.

TABLE D-7
Statistical Summary and Benchmark Comparison of 2015 MSGP Reported Results for BOD5

No. Reported Results No. Facilities Min. (mg/L) Max. (mg/L) Median (mg/L) 75th Percentile (mg/L) Percent >BM Percent >4× BM Percent >8× BM
L1 68 12 <2 163 7.4 15 13 1 0
L2 1 1 78 78 78 78 100 0 0
N1 1 1 9 9 9 9 0 0 0
P 36 4 <0.0015 318 4 13 8 3 3
Q 1 1 13 13 13 13 0 0 0
S 18 2 2.9 322 20 61 44 11 6
Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

Cadmium

Figure D-5 highlights the NetDMR 2015 MSGP data for cadmium. The cadmium benchmark value is determined by the hardness in the receiving water (see Analysis Methodology). For the graphs, two cadmium benchmark values are presented—one representing soft water (60 mg/L as CaCO3; 1.3 µg/L Cd) and one representing hard water (200 mg/L as CaCO3; 4.5 µg/L Cd), although these are presented for visualization purposes only. Benchmarks are based on site-specific hardness values. Of the sectors with at least eight reported results, only Sector K (hazardous waste facilities) exhibited benchmark exceedances (14 percent of reported results).

The figure and the descriptive statistics in Table D-8 include data collected for required monitoring that did not include hardness-specific benchmarks. Data entries without a hardness-specific benchmark were not included for the evaluation of the percentage of reported results that met benchmark thresholds.

Image
FIGURE D-5
Cadmium results from NetDMR 2015 MSGP reported data through February 2018.
NOTES: Orange lines denote the soft-water benchmark of 1.3 μg/L or eight times the benchmark and the purple lines denote the hard-water benchmark of 4.5 μg/L or eight times the benchmark. Benchmark compliance is assessed based on site-specific water quality data.
Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

TABLE D-8
Statistical Summary and Benchmark Comparison of 2015 MSGP Reported Results for Cadmium

No. Reported Results No. Facilities Min. (µg/L) Max. (µg/L) Median (µg/L) 75th Percentile (µg/L) Percent >BM Percent >4× BM Percent >8× BM
C5 8 2 0.001 1 0.50 1 0 0 0
G1 2 1 2 2 2 2 0 0 0
G2 5 2 0.1 0.44 0.44 0.44 0 0 0
K 26 5 0.2 12 1 2 14a 7 0
N1 7 2 0.5 41 1 4.4 NA NA NA
O 2 1 5 5 5 5.0 NA NA NA
P 10 4 0.056 20 2 3.4 0 0 0
T 4 1 2 10 3.5 6.3 25a 0 0
AA1 3 1 0.00047 2.9 0.23 1.6 0 0 0

NOTES: NA, required monitoring for purpose other than MSGP benchmark compliance; no regulatory limit established for those sites. Fifteen reported results were excluded from the hardness analysis because no regulatory limit was established for these sites. In addition to the sectors noted with NA above, the following were excluded from the analysis (the number of data points in parentheses): G2(1), P(5).

a Includes one reported result with stated detection limit exceeding the benchmark.

Chemical Oxygen Demand (COD)

Figure D-6 highlights the NetDMR 2015 MSGP data for COD. Only Sector A2 (wood preserving) was unable to meet the COD benchmark of 120 mg/L for at least 50 percent of the reported results. The complete data set is summarized in Table D-9. Sectors A2, A4 (hardwood, sawmills), N1 (scrap recycling), and S (airports) reported 5 percent or more of data points in excess of four times the benchmark.

Image
FIGURE D-6
Chemical oxygen demand (COD) results from NetDMR 2015 MSGP reported data through February 2018.
NOTES: Orange line denotes benchmark of 120 mg/L. Dashed purple lines represent four and eight times the benchmark.
Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

TABLE D-9
Statistical Summary and Benchmark Comparison of 2015 MSGP Reported Results for COD

No. Reported Results No. Facilities Min. (mg/L) Max. (mg/L) Median (mg/L) 75th Percentile (mg/L) Percent >BM Percent >4× BM Percent >8× BM
A1 220 28 3.6 740 37 109 21 2 0
A2 19 1 30 640 135 337 58 5 0
A4 66 9 9 711 79 176 36 5 0
B1 22 1 <5 80 22 29 0 0 0
C5 8 2 <5 103 17 66 0 0 0
G1 8 1 5.8 21 14 16 0 0 0
K 88 8 2.2 3,000 69 99 19 3 1
M 6 2 22 150 78 122 33 0 0
N1 303 52 <5 3,700 75 198 36 7 2
P 66 6 0.2 440 46 85 15 0 0
Q 4 2 14 147 23 56 25 0 0
S 18 3 20 625 57 240 33 11 0
AA1 36 2 22 164 47 59 8 0 0

NOTE: Eighteen reported results were not included because they did not have units.

Copper

Figure D-7 highlights the NetDMR 2015 MSGP data for copper. The copper benchmark value is determined by the hardness in the receiving water. For the graphs, two copper benchmark values are presented—one representing soft water (60 mg/L as CaCO3; 9 µg/L) and one representing hard water

Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

(200 mg/L as CaCO3; 28.5 µg/L). Two reported results were deleted from the analysis because their reported values were several orders of magnitude below the expected detection limit for copper. Of the sectors that had at least eight reported results, many sectors (A2 [wood preserving], F2 [iron and steel foundries], F4 [nonferrous foundries], M [auto salvage], N1 [scrap recycling], Q [water transportation], R [ship building], AA1 [fabricated metal products]) were unable to meet the benchmark for at least 50 percent of the reported results. Most of these sectors (A2, F4, N1, Q, R, and AA1) also had a large percentage of reported results (at least 25 percent) exceeding eight times the benchmark, and many results were reported that were orders of magnitude higher than this level.

Image
FIGURE D-7
Copper results from NetDMR 2015 MSGP reported data through February 2018.
NOTES: Orange lines denote the soft-water benchmark of 1.3 μg/L or eight times the benchmark and the purple lines denote the hard-water benchmark of 4.5 μg/L or eight times the benchmark. Benchmark exceedance is assessed based on site-specific water quality data.

The figure and the descriptive statistics in Table D-10 include data collected for required monitoring that did not include hardness-specific benchmarks. Data

TABLE D-10
Statistical Summary and Benchmark Comparison of 2015 MSGP Reported Results for Copper

No. Reported Results No. Facilities Min. (µg/L) Max. (µg/L) Median (µg/L) 75th Percentile (µg/L) Percent >BM Percent >4× BM Percent >8× BM
A2 32 3 15 888 129 213 97 84 81
A4 2 1 7 21 14 18 NA NA NA
B2 2 1 <2 8 5 6.5 NA NA NA
C4 1 1 22 22 22 22 NA NA NA
C5 6 3 6 57 18 22 NA NA NA
E2 2 2 20 42 31 37 NA NA NA
F2 35 4 <1 83 13 22 63a 9 0
F3 100 9 0.003 195 7.8 17 40b 22 14
F4 10 2 5 279 31 169 70 60 50
G1 2 1 24 67 45 56 50 0 0
G2 4 2 <3 9.5 6.2 9.5 25 0 0
M 11 2 0.016 64 24 36 82 9 0
N1 330 49 <0.001 4,380 19 62 62b 37a 26
O 4 1 18 86 30 52 NA NA NA
P 97 14 0.007 250 13 22 32c 1 1
Q 415 60 1 12,000 100 360 86d 73c 61b
R 335 38 0.01 796,000 219 615 96d 90c 81
S 22 1 0.0020 37 5.3 8.3 18 0 0
U3 27 6 2.8 357 11 31 NA NA NA
V 2 1 18 28 23 26 NA NA NA
Y2 1 1 17 17 17 17 NA NA NA
AA1 93 5 0.033 74,000 76 370 82 60 46
AC1 7 1 4 30 6 21.5 NA NA NA

NOTES: NA, required monitoring for purpose other than MSGP benchmark compliance; no regulatory limit established for those sites. Nine reported results were not included because they did not have units; 82 reported results were excluded from the hardness-based benchmark analysis because no regulatory limit was established for these sites. In addition to the sectors noted with NA above, the following were excluded from the benchmark analysis: A4(2), B2(2), C4(1), C5(6), E2(2), N1(1), O(4), P(24), Q(1), R(1), U3(27), V(2), Y2(1), AA1(1), and AC1(7).

a Includes one result with reported detection limit exceeding the benchmark.

b Includes two to four results with reported detection limit exceeding the benchmark.

c Includes nine results with reported detection limit exceeding the benchmark.

d Includes five to seven results with reported detection limit exceeding the benchmark.

Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

entries without a hardness-specific benchmark were not included for the evaluation of the percentage of reported results that met benchmark thresholds.

Cyanide

Figure D-8 highlights the NetDMR 2015 MSGP data for cyanide. The sectors with sufficient reported results to graph were able to meet the cyanide benchmark of 22 µg/L for all but one of the reported results in the database (from Sector K, hazardous waste facility). The complete data set is summarized in Table D-11.

Image
FIGURE D-8
Cyanide results from NetDMR 2015 MSGP reported data through February 2018.
NOTES: Orange line denotes benchmark of 22 μg/L. Dashed purple lines represent four and eight times the benchmark.

TABLE D-11
Statistical Summary and Benchmark Comparison of 2015 MSGP Reported Results for Cyanide

No. Reported Results No. Facilities Min. (µg/L) Max. (µg/L) Median (µg/L) 75th Percentile (µg/L) Percent >BM Percent >4× BM Percent >8× BM
A4 1 1 1.9 1.9 1.9 1.9 0 0 0
B2 2 1 <1 <1 <1 <1 0 0 0
C3 4 1 <0.8 2.1 1.4 2.0 0 0 0
C5 11 3 <0.001 3.2 <1 1 0 0 0
E2 2 2 <1 2.4 1.7 2.1 0 0 0
J1 2 2 <2 <2 <2 <2 0 0 0
K 61 4 <0.00001 25 1.7 1.7 2 0 0
P 7 3 1 17 2.8 5.1 0 0 0
Q 1 1 1 1 1 1 0 0 0
U3 14 6 0.9 2.3 1 1.3 0 0 0
Y2 1 1 2.2 2.2 2.2 2.2 0 0 0
AC 4 2 <1 1.6 1 1.2 0 0 0
Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

Iron

Figure D-9 shows the NetDMR 2015 MSGP data for iron. For sectors with at least eight reported results, Sectors A1 (general sawmills), E2 (concrete and gypsum), E3 (glass and stone products), F2 (iron and steel foundries), H (coal mines), L2 (landfills, excluding municipal solid waste), N1 (scrap recycling), and P (motor freight transportation) exceeded the benchmark for ≥50 percent of the reported results. At least 10 percent of the reported results in Sectors C1 (agrochemicals), E2, H, L2, N1, Q (water transportation), and S (airports) exceeded eight times the benchmark. About 95 percent of the reported results from Sector H exceeded eight times the benchmark. The complete data set is summarized in Table D-12.

Image
FIGURE D-9
Iron results from NetDMR 2015 MSGP reported data through February 2018.
NOTES: Orange line denotes benchmark of 1,000 μg/L. Dashed purple lines represent four and eight times the benchmark.
Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

TABLE D-12
Statistical Summary and Benchmark Comparison of 2015 MSGP Reported Results for Iron

No. Reported Results No. Facilities Min. (µg/L) Max. (µg/L) Median (µg/L) 75th Percentile (µg/L) Percent >BM Percent >4× BM Percent >8× BM
A1 12 1 100 4,880 1,320 2,398 58 17 0
B2 1 1 <50 <50 <50 <50 0 0 0
C1 23 2 19 24,000 181 752 17 17 13
C2 84 5 25 39,100 280 776 21 5 1
C5 14 2 <50 2,940 240 750 21 0 0
D1 9 3 <50 7,290 380 1,220 33 11 0
E2 228 46 24 510,000 1,500 4,613 59 28 17
E3 8 2 27 3,600 994.5 1,700 50 0 0
F2 34 4 <50 15,400 1,165 2,950 53 24 9
F3 4 1 370 1,010 695 1,003 25 0 0
G1 1 1 <100 100 100 100 0 0 0
G2 4 2 <1,000 1,270 1,135 1,270 50 0 0
H 22 3 5,980 604,000 34,650 113,650 100 100 95
J1 9 2 190 540 280 340 0 0 0
J2 35 7 <50 9,100 250 905 20 11 3
L2 120 14 <50 92,000 1,300 3,493 59 22 17
M 196 39 <13 34,000 400 1,000 24 4 2
N1 329 53 13 164,000 2,360 5,800 69 31 18
O1 420 34 4 203,000 564 1,700 33 15 9
P 89 9 30 54,100 1,010 2,110 52 11 9
Q 626 70 5 126,000 800 2,983 45 20 12
R 345 37 13 881,000 656 2,420 41 17 9
S 19 3 14 45,000 842 2,575 42 16 16
U3 2 1 5,600 13,000 9,300 11,150 100 100 50
Y1 4 1 620 1,800 880 1,200 25 0 0
Y2 30 3 <50 1,600 110 289 7 0 0
AA1 430 35 <5 44,100 566 1,795 37 14 6

NOTE: Twenty-four reported results were not included because they did not have units.

Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

Lead

Figure D-10 highlights the NetDMR 2015 MSGP data for lead. The lead benchmark value is determined by the hardness in the receiving water. For the graphs, two lead benchmark values are presented—one representing soft water (60 mg/L as CaCO3; 45 µg/L) and one representing hard water (200 mg/L as CaCO3; 213 µg/L). Of the sectors that had at least eight reported results, Sector N1 (scrap recycling) had the largest percentage of benchmark exceedances (41 percent), with 7 percent exceeding eight times the benchmark, while Sector R (ship and boat building or repair years) had about 25 percent exceedances compared to the soft-water benchmark.

The figure and the descriptive statistics in Table D-13 include data collected for required monitoring that did not include hardness-specific benchmarks. Data entries without a hardness-specific benchmark were not included for the evaluation of the percentage of reported results that met benchmark thresholds.

Image
FIGURE D-10
Lead results from NetDMR 2015 MSGP reported data through February 2018.
NOTES: Orange lines denote the soft-water benchmark of 45 μg/L or eight times the benchmark and the purple lines denote the hard-water benchmark of 213 μg/L or eight times the benchmark. Benchmark exceedance is assessed based on site-specific water quality data.
Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

TABLE D-13
Statistical Summary and Benchmark Comparison of 2015 MSGP Reported Results for Lead

No. Reported Results No. Facilities Min. (µg/L) Max. (µg/L) Median (µg/L) 75th Percentile (µg/L) Percent >BM Percent >4× BM Percent >8× BM
C1 7 2 <3 10 <3 <10 0 0 0
C5 11 3 <2 57 <3 9 10 0 0
D1 2 1 <5 <8 <6.5 <7.2 NA NA NA
G1 2 1 <7.5 <7.5 <7.5 <7.5 0 0 0
G2 5 2 <4 44 44 44 0 0 0
K 28 5 <0.5 140 5 13 7 0 0
M 172 39 0.75 230 7.5 16 6 1 1
N1 311 51 0.6 18,000 28 77 41 16 7
O 2 1 <10 <10 <10 <10 NA NA NA
P 81 10 0.35 742 6 20 2 2 0
Q 410 57 0.08 2,467 15 29 4a 0 0
R 276 35 0.5 1,300 25 50 8b 1 0
S 6 1 0.22 3.5 0.47 2.0 0 0 0
T 9 2 2 54 19 29 0 0 0
U3 16 4 <0.5 <10 2 4.0 NA NA NA
AA1 6 1 0.37 3.6 1.5 2.9 0 0 0
AC 1 1 4 4 4 4 NA NA NA

NOTES: NA, required monitoring for purpose other than MSGP benchmark compliance; no regulatory limit established for those sites. Nine reported results were not included because they did not have units; 67 reported results were excluded from the hardness-based benchmark analysis because no regulatory limit was established for these sites. In addition to the sectors noted with NA above, the following were excluded from the benchmark analysis (the number of reported results in parentheses): C5(1), D1(2), G2(1), M(2), N1(8), O1(2), P(28), Q(1), T(5), U3(16), and AC1(1).

a Includes one result with reported detection limit exceeding the benchmark.

b Includes five results with reported detection limit exceeding the benchmark.

Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

Magnesium

Figure D-11 shows the NetDMR 2015 MSGP data for magnesium. Only two sectors had at least eight reported results for graphical analysis. Half of the reported results in Sectors C5 (industrial organic chemicals) and all the reported results in Sector K (hazardous waste facilities) exceeded the benchmark of 64 µg/L. A large proportion of these reported results also exceeded eight times the benchmark. The complete data set is summarized in Table D-14. None of the reported results submitted in either Sectors P (motor freight transportation facilities) or AA1 (fabricated metal) were able to meet the magnesium benchmark.

Image
FIGURE D-11
Magnesium results from NetDMR 2015 MSGP reported data through February 2018.
NOTES: Orange line denotes benchmark of 64 μg/L. Dashed purple lines represent four and eight times the benchmark.

TABLE D-14
Statistical Summary and Benchmark Comparison of 2015 MSGP Reported Results for Magnesium

No. Reported Results No. Facilities Min. (µg/L) Max. (µg/L) Median (µg/L) 75th Percentile (µg/L) Percent >BM Percent >4× BM Percent >8× BM
C5 8 2 0.99 13,900 2,031 7,168 50 50 50
K 95 8 110 70,000 2,520 7,295 100a 98a 83a
P 5 1 300 16,000 2,600 11,000 100 100 80
AA1 3 1 505 1,590 1,410 1,500 100 100 67

a Includes two results with reported detection limit exceeding the benchmark (and eight times the benchmark).

Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

Mercury

Figure D-12 shows the NetDMR 2015 MSGP data for mercury. For sectors with at least eight reported results, Sectors K (hazardous waste facilities) and U3 (food and beverage production) each exceeded the benchmark of 1.4 µg/L in only one reported result. The plot for Sector U3 was skewed by a single result that was >1,000 µg/L, three orders of magnitude greater than other results in the database. One potential explanation for this is that the result was in micrograms per liter and was reported in milligrams per liter and was converted for these purposes to micrograms per liter by multiplying by 1,000. Because the analytical result is possible, although highly unlikely, it was retained in the analysis. The complete data set is summarized in Table D-15.

Image
FIGURE D-12
Mercury results from NetDMR 2015 MSGP reported data through February 2018.
NOTES: Orange line denotes benchmark of 1.4 μg/L. Dashed purple lines represent four and eight times the benchmark.

TABLE D-15
Statistical Summary and Benchmark Comparison of 2015 MSGP Reported Results for Mercury

No. Reported Results No. Facilities Min. (µg/L) Max. (µg/L) Median (µg/L) 75th Percentile (µg/L) Percent >BM Percent >4× BM Percent >8× BM
C3 4 1 <0.2 <4 <0.3 <1.3 25a 0 0
C5 8 2 <0.00001 0.06 <0.026 <0.05 0 0 0
G1 4 1 <0.2 <0.2 <0.2 <0.2 0 0 0
G2 24 3 <0.2 1 <1 <1 0 0 0
K 90 8 <0.002 <2 <0.067 0.12 1a 0 0
N1 5 3 <0.1 0.2 <0.2 <0.2 0 0 0
P 4 1 0.027 0.062 0.044 0.049 0 0 0
Q 4 1 0.06 0.29 0.095 0.17 0 0 0
R 5 1 <0.1 <0.15 <0.1 <0.1 0 0 0
U3 8 3 <0.05 5000 <0.05 0.10 13 13 13

NOTE: One result was not included because the sector/subsector could not be identified.

a Includes one result with reported detection limit exceeding the benchmark.

Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

Nickel

The NetDMR 2015 MSGP data for nickel are summarized in Table D-16. No sector had at least eight reported results for graphical analysis. Those facilities with hardness-specific benchmarks identified all met the benchmarks. Even for the data entries that lacked hardness-specific limits, all the reported results submitted met both the soft-water benchmark of 320 µg/L and the hard-water benchmark of 890 µg/L.

TABLE D-16
Statistical Summary and Benchmark Comparison of 2015 MSGP Reported Results for Nickel

No. Reported Results No. Facilities Min. (µg/L) Max. (µg/L) Median (µg/L) 75th Percentile (µg/L) Percent >BM Percent >4× BM Percent >8× BM
G1 1 1 <10 <10 <10 <10 0 0 0
G2 4 2 <10 <10 <10 <10 0 0 0
N1 1 1 13 13 13 13 NA NA NA
O1 2 1 <25 <25 <25 <25 NA NA NA
P 5 3 <25 <250 <25 <250 NA NA NA

NOTES: NA, required monitoring for purpose other than MSGP benchmark compliance; no regulatory limit established for those sites. These eight reported results were excluded from the benchmark analysis.

Nitrite Plus Nitrate

Figure D-13 shows the NetDMR 2015 MSGP data for nitrite plus nitrate. For sectors with at least eight reported results, only Sector C1 (agricultural chemicals) exceeded the benchmark of 0.68 mg/L in more than 50 percent of the reported results, although Sectors C1, J2 (crushed stone), and AA2 (fabricated metal coating) exceeded four times the benchmark in at least 10 percent of the reported results. The complete data set is summarized in Table D-17.

Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×
Image
FIGURE D-13
Nitrite plus nitrate nitrogen results from NetDMR 2015 MSGP reported data through February 2018.
NOTES: Orange line denotes benchmark of 0.68 mg/L. Dashed purple lines represent four and eight times the benchmark.

TABLE D-17
Statistical Summary and Benchmark Comparison of 2015 MSGP Reported Results for Nitrite Plus Nitrate Nitrogen

No. Reported Results No. Facilities Min. (µg/L) Max. (µg/L) Median (µg/L) 75th Percentile (µg/L) Percent >BM Percent >4× BM Percent >8× BM
C1 8 1 0.18 3.1 1.2 2.0 63 13 0
C2 62 3 <0.02 1.3 0.35 0.60 16 0 0
C3 42 3 0.081 1.8 0.48 0.5 10 0 0
C5 15 2 0.14 1.9 0.44 0.90 33 0 0
D1 11 4 0.02 0.9 0.5 0.5 9 0 0
E2 13 4 <0.02 0.89 0.09 0.16 15 0 0
F2 4 1 0.14 0.46 0.29 0.39 0 0 0
F3 4 1 <0.2 0.97 0.47 0.64 25 0 0
G1 8 1 0.21 1.9 0.43 0.88 38 0 0
J1 99 25 <0.02 7 0.35 0.89 29 4 2
J2 38 5 <0.05 24 <0.5 <0.5 21 13 11
P 3 2 <0.1 0.48 0.17 0.33 0 0 0
Q 31 2 0.021 0.94 0.35 0.52 13 0 0
Y2 26 2 0.089 0.8 0.5 0.5 12 0 0
AA1 357 30 <0.001 <68 0.5 0.68 21a 6b 2b
AA2 20 4 0.07 22 0.32 0.49 20 10 5

a Includes seven results with reported detection limit exceeding the benchmark.

b Includes one result with reported detection limit exceeding four and eight times the benchmark.

Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

pH

Figure D-14 shows the NetDMR 2015 MSGP data for pH. The pH benchmark is set based on maintaining an optimum range for water quality between pH 6 and 9. The complete data set is summarized in Table D-18, including the last column which sums the percentage of reported results in each sector that were below pH of 6.0 or above pH of 9.0. Sectors with at least eight reported results where ≥10 percent of the data were outside the pH benchmark range were G1 (copper mining), L1 (landfills), and AB (transportation equipment).

Image
FIGURE D-14
pH results from NetDMR 2015 MSGP reported data through February 2018.
NOTE: Orange lines denote minimum and maximum of optimal pH range of 6.0–9.0.
Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

TABLE D-18
Statistical Summary and Benchmark Comparison of 2015 MSGP Reported Results for pH

No. Reported Results No. Facilities Min. Max. Median 75th Percentile Percent <6 Percent >9 Percent Outside BM Range
A1 78 6 5.9 7.8 7.1 7.3 4 0 4
A3 2 1 6.4 6.8 6.6 6.7 0 0 0
D1 21 8 4.2 8.4 7.8 7.8 5 0 5
E2 24 6 5.6 8.4 7.2 7.6 4 0 4
E3 1 1 7.8 7.8 7.8 7.8 0 0 0
F3 2 1 7.1 7.3 7.2 7.3 0 0 0
G1 10 1 7.8 9.1 7.8 9.1 0 40 40
G2 6 2 7.1 7.4 7.2 7.4 0 0 0
J1 44 8 7.0 <9 7.8 8.2 0 0 0
J2 104 20 5.5 <9 7.4 7.8 2 0 2
L1 118 14 1.6 10.1 7.2 7.6 10 2 12
L2 1 1 7.5 7.5 7.5 7.5 0 0 0
N1 14 6 6.1 7.6 7.1 7.4 0 0 0
O 4 1 6.8 7.2 7.0 7.2 0 0 0
P 57 10 5.8 8.9 7.2 7.4 2 0 2
Q 2 2 0.9 9.2 5.1 7.1 50 50 100
S 38 4 5.5 7.5 6.9 7.1 5 0 5
U3 22 7 6.6 9.4 7.8 8.1 0 9 9
V 4 2 5.9 6.7 6.3 6.5 25 0 25
Y2 7 2 6.4 8.1 7.7 7.9 0 0 0
AA1 2 1 8.3 8.9 8.6 8.7 0 0 0
AB 12 2 5.3 7.4 6.5 6.6 17 0 17

NOTE: Twenty-four reported results were not included because they did not have units or the sector/subsector could not be identified (6 reported results without units; 18 without sector/subsector information).

Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

Phosphorus

Figure D-15 shows the NetDMR 2015 MSGP data for total phosphorus. For sectors with at least eight reported results, only Sector C1 (agricultural chemicals) exceeded the benchmark of 2 mg/L in ≥10 percent of the reported results. Sector U3 seemed to have a sample that was an anomaly at 187 mg/L. No other reported result in that sector exceeded 10 mg/L. However, because no information was available to indicate that this was an incorrect entry, the reported result was retained in the analysis. The complete data set is summarized in Table D-19.

Image
FIGURE D-15
Total phosphorus results from NetDMR 2015 MSGP reported data through February 2018.
NOTES: Orange line denotes benchmark of 2 mg/L. Dashed purple lines represent four and eight times the benchmark.
Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

TABLE D-19
Statistical Summary and Benchmark Comparison of 2015 MSGP Reported Results for Total Phosphorus

No. Reported Results No. Facilities Min. (mg/L) Max. (mg/L) Median (mg/L) 75th Percentile (mg/L) Percent >BM Percent >4× BM Percent >8× BM
A4 7 2 0.027 0.77 0.25 0.28 0 0 0
C1 24 2 0.064 3.3 0.85 1.4 13 0 0
C5 6 2 0.037 0.69 0.13 0.17 0 0 0
D1 16 5 0.091 1.2 0.14 0.38 0 0 0
E2 2 2 <0.05 1.2 0.64 0.94 0 0 0
J1 45 9 <0.05 0.8 0.12 0.17 0 0 0
J2 2 2 <0.05 0.29 0.17 0.23 0 0 0
N1 9 3 <0.1 0.29 0.14 0.22 0 0 0
O1 12 2 <0.1 1.9 0.38 1.2 0 0 0
P 25 8 0.06 2.6 0.27 0.92 4 0 0
S 16 5 0.06 0.65 0.23 0.36 0 0 0
T 6 1 0.07 2.6 0.33 0.42 17 0 0
U1 4 1 1.1 7.9 5.9 7.9 75 0 0
U3 42 8 0.012 187 0.62 0.89 7 2 2
AA1 15 2 0.03 0.6 0.07 0.19 0 0 0
AC 11 4 <0.01 0.5 0.13 0.20 0 0 0

NOTE: Two reported results were not included because they did not have subsector/sector information.

Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

Selenium

Figure D-16 shows the NetDMR 2015 MSGP data for selenium for sectors with at least eight reported results. Overall, high reported detection levels make the data more difficult to interpret. Only a few results (7 out of 87) across all sectors were reported that were above the benchmark (5 µg/L) that were not assigned a “less than” descriptor. All reported results for C5 were below the stated detection limit, although some of these detection limits were above the benchmark. The complete data set is summarized in Table D-20.

Image
FIGURE D-16
Selenium results from NetDMR 2015 MSGP reported data through February 2018.
NOTES: Orange line denotes benchmark of 5 μg/L. Dashed purple lines represent four and eight times the benchmark.

TABLE D-20
Statistical Summary and Benchmark Comparison of 2015 MSGP Reported Results for Selenium

No. Reported Results No. Facilities Min. (µg/L) Max. (µg/L) Median (µg/L) 75th Percentile (µg/L) Percent >BM Percent >4× BM Percent >8× BM
A2 3 1 10 10 10 10 100 0 0
C5 8 2 <1 <11 <6 <11 50a 0 0
G2 4 2 <0.003 <5 4 5 0 0 0
J3 8 2 <0.5 6 <1 <2.2 25 0 0
K 60 6 0.61 100 <2 <5 18b 3 3
Q 1 1 <3 <3 <3 <3 0 0 0
T1 1 1 <6.1 <6.1 <6.1 <6.1 100a 0 0
U3 2 2 2 <3 2.5 2.8 0 0 0

a All exceedances were for results that had reported detection limits above the benchmark of 5 μg/L.

b Includes nine results with reported detection limit exceeding the benchmark.

Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

Silver

Figure D-17 highlights the NetDMR 2015 MSGP data for silver. The benchmark value for silver is determined by the hardness in the receiving water. For the graphs, two silver benchmark values are presented—one representing soft water (60 mg/L as CaCO3; 1.7 µg/L) and one representing hard water (200 mg/L as CaCO3; 13.8 µg/L). All reported results noted as exceeding the benchmark also were reported as “less than” a detection level that was above the benchmark (see Table D-21).

Image
FIGURE D-17
Silver results from NetDMR 2015 MSGP reported data through February 2018.
NOTES: Orange lines denote the soft-water benchmark of 1.7 μg/L or eight times the benchmark and the purple lines denote the hard-water benchmark of 13.8 μg/L or eight times the benchmark. Benchmark exceedance is assessed based on site-specific water quality data.

TABLE D-21
Statistical Summary and Benchmark Comparison of 2015 MSGP Reported Results for Silver

No. Reported Results No. Facilities Min. (µg/L) Max. (µg/L) Median (µg/L) 75th Percentile (µg/L) Percent >BM Percent >4× BM Percent >8× BM
C5 8 2 <0.001 1 0.50 1 0 0 0
G1 1 1 <0.1 <0.1 <0.1 <0.1 0 0 0
G2 4 2 0.17 <0.3 0.24 <0.3 0 0 0
K 26 5 0.1 <20 <1 2.7 12a 4b 0
P 5 1 0.02 0.52 0.15 0.32 0 0 0
T 4 1 <5 <25 <9 <16 25b 0 0

a Includes three results with reported detection limit exceeding the benchmark.

b Includes one result with reported detection limit exceeding the benchmark.

Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

Total Suspended Solids (TSS)

Figure D-18 highlights the NetDMR 2015 MSGP data for total suspended solids compared to the benchmark of 100 mg/L. Considering sectors with at least eight reported results, at least 60 percent of reported results in Sectors A2 (wood preserving), E3 (glass and stone products), and H (coal mines) exceeded the benchmark, and more than 10 percent of the reported results in Sectors A2 and H exceeded eight times the benchmark. The complete data set is summarized in Table D-22.

Image
FIGURE D-18
Total suspended solids results from NetDMR 2015 MSGP reported data through February 2018.
NOTES: Orange line denotes the benchmark of 100 mg/L. Dashed purple lines represent four and eight times the benchmark.
Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

TABLE D-22
Statistical Summary and Benchmark Comparison of 2015 MSGP Reported Results for Total Suspended Solids

No. Reported Results No. Facilities Min. (mg/L) Max. (mg/L) Median (mg/L) 75th Percentile (mg/L) Percent >BM Percent >4× BM Percent >8× BM
A1 374 28 0.4 2,680 23 90 22 7 3
A2 24 2 10 3,810 172 550 63 21 13
A3 53 10 <2 2,700 13 45 11 2 2
A4 74 9 <4 1,240 58 108 27 3 3
B2 4 1 6.4 63 23 44 0 0 0
D1 150 27 0.5 988 15 36 11 1 1
E2 269 46 0.66 16,000 51 150 35 14 7
E3 11 2 37 820 300 340 82 9 0
F2 27 4 4 553 7 19 11 4 0
G1 12 1 <5 529 17 36 17 8 0
G2 8 3 <5 100 6.5 54 0 0 0
H 22 3 80 25,200 2,250 4,730 95 77 55
J1 211 28 0.11 558 7 19 4 2 0
J2 428 35 0.19 5,000 15 49 14 6 3
L1 461 31 1 20,000 32 145 30 14 8
L2 1 1 1,510 1,510 1,510 1,510 100 0 0
M 185 39 0.63 1,200 15 29 6 1 1
N1 305 52 <2 5,140 35 93 24 7 2
O 6 2 <5 30 6 11 0 0 0
P 138 12 <2 1,400 16 54 18 7 3
Q 4 2 1.5 28 5.6 13 0 0 0
R 5 1 <1 4.8 2.6 2.9 0 0 0
S 20 5 <2 122 1.5 42 5 0 0
T 3 2 20 57 55 56 0 0 0
U1 37 7 9 486 76 149 38 3 0
U3 123 7 4 415 81 150 43 1 0
Y2 1 1 11 11 11 11 0 0 0
AA1 64 1 <4 70 5 19 0 0 0
AB1 3 1 5 30 7 19 0 0 0
AC1 6 2 <5 20 5.5 15 0 0 0

NOTE: Twenty reported results were not included because they did not have units or the sector/subsector could not be identified (19 results without units; 1 result without sector/subsector information).

Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

Turbidity

Figure D-19 highlights the NetDMR 2015 MSGP data for turbidity compared to the benchmark of 50 nephelometric turbidity units (NTU). Of the sectors with at least eight reported results, only D1 (asphalt paving) exceeded the benchmark in more than 25 percent of the reported results. The complete data set is summarized in Table D-23.

Image
FIGURE D-19
Turbidity results from NetDMR 2015 MSGP reported data through February 2018.
NOTES: Orange line denotes the benchmark of 50 NTU. Dashed purple lines represent four and eight times the benchmark.
Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

TABLE D-23
Statistical Summary and Benchmark Comparison of 2015 MSGP Reported Results for Turbidity

No. Reported Results No. Facilities Min. (NTU) Max. (NTU) Median (NTU) 75th Percentile (NTU) Percent >BM Percent >4× BM Percent >8× BM
A2 3 1 9.4 27 11 19 0 0 0
A3 2 1 7.1 28 18 23 0 0 0
A4 4 1 0.39 77 13 32 25 0 0
B2 11 4 0.19 27 13 17 0 0 0
C5 5 2 4.3 17 4.9 11 0 0 0
D1 10 2 1.4 94 18 70 40 0 0
E2 4 3 <4 236 27 96 25 25 0
G1 1 1 12 12 12 12 0 0 0
G2 3 2 30 50 50 50 0 0 0
J2 2 1 2.2 2.3 2.3 2.3 0 0 0
J3 1 1 11 11 11 11 0 0 0
M 1 1 0.71 0.71 0.71 0.71 0 0 0
N1 8 3 1.1 33 16 28 0 0 0
O 12 2 3.9 28 17 26 0 0 0
P 10 5 3.3 37 10 32 0 0 0
Q 6 3 0.9 36 2 3.1 0 0 0
S 6 2 2.1 110 5.0 15 17 0 0
T 10 2 1.1 970 4.4 27 20 10 10
U3 29 8 0.79 240 12 42 17 3 0
AA1 4 2 0.83 12 7.1 11 0 0 0
AC 11 3 1.5 15 10 42 0 0 0
Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

Zinc

Figure D-20 highlights the NetDMR 2015 MSGP data for zinc. Zinc’s benchmark value is determined by the hardness in the receiving water. For the graphs, two zinc benchmark values are presented—one representing soft water (60 mg/L as CaCO3; 80 µg/L) and one representing hard water (200 mg/L as CaCO3; 230 µg/L). Reviewing the data set, several reported results may be outliers because their reported values are below the detection limits of most common methods of analysis. This is likely a transcription error. However, because these values were within the limit of detection of research instruments, the reported results were retained in the analysis. There also were two results that were reported as ≥10,000 µg/L (10 mg/L). The result in Sector F3 does not appear to be outside the range reported for other data. However, for Sector Q, the reported result is more than 10 times greater than the other data. Again, there was insufficient information to remove these from the analysis, so they were retained. Of the sectors with at least eight reported results, in Sectors C1 (agrochemicals), C4 (plastics), F1 (steel works), F2 (iron and steel foundries), F3 (rolling, drawing, and extruding of nonferrous metals), N1 (scrap recycling), Q (water transportation), Y1 (rubber products), AA1 (fabricated metal), and AA2 (fabricated metal coating), the reported values exceeded the hardness-specific benchmark for at least 50 percent of the reported results, and at least 10 percent of the reported results in Sectors C1, C4, F3, F4 (nonferrous foundries), N1, and Y1 exceeded eight times the benchmark. The complete data set is summarized in Table D-24.

Image
FIGURE D-20
Zinc results from NetDMR 2015 MSGP reported data through February 2018.
NOTES: Orange lines denote the soft-water benchmark of 80 μg/L or eight times the benchmark and the purple lines denote the hard-water benchmark of 230 μg/L or eight times the benchmark. Benchmark compliance is assessed based on site-specific water quality data.
Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

TABLE D-24
Statistical Summary and Benchmark Comparison of 2015 MSGP Reported Results for Zinc

No. Reported Results No. Facilities Min. (µg/L) Max. (µg/L) Median (µg/L) 75th Percentile (µg/L) Percent >BM Percent >4× BM Percent >8× BM
A1 210 28 1 1,630 36 87 35 7 1
C1 24 2 17 1,300 243 365 83 29 25
C3 60 4 15 3,210 72 132 48 17 7
C4 44 5 20 1,580 150 284 89 41 16
C5 1 1 675 675 675 675 100 100 100
F1 34 2 <20 650 159 200 91a 21 3
F2 36 4 <5 1,000 158 337 61 28 6
F3 111 9 <0.01 27,200 129 268 52 27 12
F4 10 2 <10 587 59 301 50 30 30
G1 2 1 <10 10 10 10 0 0 0
G2 5 2 <30 76 76 76 0 0 0
L1 80 14 0.00016 1,110 42 83 6 1 1
L2 1 1 312 312 312 312 100 0 0
M 6 2 24 160 63 85 0 0 0
N1 316 49 5.2 3,100 150 328 68 32 13
O 4 1 72 855 416 614 NA NA NA
P 132 11 0.14 1,600 41 107 11 3 0
Q 564 65 0.000033 102,000 89 253 48b 19 8
R 59 4 0.029 1,240 0.56 2.4 12 3 3
S 27 2 0.0096 619 51 165 33 8 0
Y1 64 5 14 2,200 110 290 91 38 23
Y2 34 3 21 992 61 110 68 15 9
AA1 374 35 0.019 3,380 97 235 57 19 7
AA2 24 4 10 5,200 85 165 29 13 8

NOTES: NA, required monitoring for purpose other than MSGP benchmark compliance; no regulatory limit established for those sites. Fourteen reported results were not included because they did not have units. An additional four reported results from P1 were excluded from the hardness-based benchmark evaluation because no regulatory limit was established for those sites.

a Includes three results with reported detection limit exceeding the benchmark.

b Includes one result with reported detection limit exceeding the benchmark.

Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×

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Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×
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×
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×
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×
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×
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×
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×
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×
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Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×
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Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×
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×
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Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×
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Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×
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×
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Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×
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×
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×
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Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×
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Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×
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Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×
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Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×
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Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×
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Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×
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Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×
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Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×
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Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×
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Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×
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Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×
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×
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Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×
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Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×
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Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×
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×
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Suggested Citation:"Appendix D: 2015 Multi-Sector General Permit (MSGP) Data Analysis." National Academies of Sciences, Engineering, and Medicine. 2019. Improving the EPA Multi-Sector General Permit for Industrial Stormwater Discharges. Washington, DC: The National Academies Press. doi: 10.17226/25355.
×
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×
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Next: Appendix E: Additional Data on Technical Achievability of Treatment Stormwater Control Measures »
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Industrial stormwater is derived from precipitation and/or runoff that comes in contact with industrial manufacturing, processing, storage, or material overburden and then runs offsite and enters drainage systems or receiving waters. In 1987, Congress significantly expanded the National Pollutant Discharge Elimination System (NPDES) program through amendments to the Clean Water Act to include industrial stormwater runoff conveyed through outfalls directly to receiving waters or indirectly through municipal separate storm sewer systems.

The added regulation of stormwater in the NPDES program has been challenging. Stormwater is produced throughout a developed landscape, and its production and delivery are episodic. In 2009, the National Research Council released a comprehensive report on the Environmental Protection Agency’s Stormwater Program that covered all sectors of the program. This study builds on that report, with a focus on industrial stormwater monitoring and management.

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